Priscilla Figueroa

2.5k citations
25 papers · 1.8k indexed · 1 hit paper · h-index 15
Topics
Blood transfusion and management (14 papers)Blood groups and transfusion (9 papers)Blood donation and transfusion practices (6 papers)

In The Last Decade

Priscilla Figueroa

25 papers receiving 1.8k citations

Hit Papers

Duration of Red-Cell Storage and Complications after Card...200820262014202020082505007501000

Peers

Priscilla Figueroa
Comparison fields: 5 of 92
  • Biochemistry 1.1k
  • Hematology 512
  • Critical Care and Intensive Care Medicine 490
  • Physiology 455
  • Surgery 319
Replace Leo van de Watering with:
Leo van de Watering Netherlands
Mazyar Javidroozi United States
David M. Baron Austria
Sergey B. Zaets United States
Simon Davidson United Kingdom
Janine Ross United Kingdom
G. Freyburger France
S. Frederick Rabiner United States
Kathleen E. Brummel United States
Priscilla Figueroa relative to Leo van de Watering Netherlands Leo van de Watering's profile →
Citations per field
00.5×1.5×2.3×
Leo van de Watering · 1×
Citations per year

Countries citing papers authored by Priscilla Figueroa

Since Specialization
Citations

This map shows the geographic impact of Priscilla Figueroa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Priscilla Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priscilla Figueroa more than expected).

Fields of papers citing papers by Priscilla Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priscilla Figueroa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Priscilla Figueroa. The network helps show where Priscilla Figueroa may publish in the future.

Co-authorship network of co-authors of Priscilla Figueroa

This figure shows the co-authorship network connecting the top 25 collaborators of Priscilla Figueroa. A scholar is included among the top collaborators of Priscilla Figueroa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priscilla Figueroa. Priscilla Figueroa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 11
3 47
4 29
5 13
6 198
7 3
8 12
9 54
10 23
11 6
12 39
13 27
14 10
15 122
16 53
17
Duration of Red-Cell Storage and Complications after Cardiac Surgerybreakdown →
1002
18 54
19 41
20 24

About Priscilla Figueroa

Priscilla Figueroa is a scholar working on Biochemistry, Hematology and Management of Technology and Innovation, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood transfusion and management (14 papers), Blood groups and transfusion (9 papers) and Blood donation and transfusion practices (6 papers). The work is most often cited by research in Biochemistry (1.1k citations), Critical Care and Intensive Care Medicine (490 citations) and Hematology (512 citations). Priscilla Figueroa has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Colleen G. Koch, Tomislav Mihaljević, Eugene H. Blackstone, Daniel I. Sessler, Gerald A. Hoeltge, Liang Li, Liang Li, Lars G. Svensson, Andrea Kurz and Nancy M. Heddle. Their work appears in journals such as New England Journal of Medicine, Blood and Anesthesiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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